Evaluation of Visualization Tools for Computer Network Defense Analysts: Display Design, Methods, and Results for a User Study

Abstract

Computer network defense (CND) analysts serve an increasingly vital role in the defense of our nations computing infrastructure. An important component of their work is the monitoring of suspicious activity identified by an intrusion detection system (IDS). While analysts are trained to quickly recognize abnormal patterns in textual log files, humans are generally not well suited for such processing in any large quantity. Many authors have proposed the use of visualization techniques to aid the cyber security analysts search activities; however, such techniques are not widely used by analysts. This report describes an evaluation of 2 graphical displays (a parallel coordinates display and a node-link display) compared against a traditional tabular arrangement with the goal of better understanding analyst performance and obtaining subjective feedback on the graphical alternatives. Both expert analysts and novices (students) participated in the study. Results show that analysts generally preferred familiar tools but were able to use some graphical alternatives (node-link) to achieve similar performance in less time. Students were not found to be effective surrogates for experienced analysts for research/validation of techniques. This report describes the development and design of the displays and the experiment, and provides insight into analyst needs and evidence on effective methods for validating cyber defense visualization tools based on results obtained.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2016
Accession Number
AD1021455

Entities

People

  • Christopher J. Garneau
  • Robert F. Erbacher

Organizations

  • United States Army Research Laboratory

Tags

DTIC Thesaurus Topics

  • Computer Network Security
  • Computer Networks
  • Computer Science
  • Computers
  • Cyber Defense Techniques
  • Cybersecurity
  • Detection
  • Html
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Network Protocols
  • Operating Systems
  • Security
  • Situational Awareness
  • Spreadsheet Software
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Cyber